Git Rebase: What Can Go Wrong?

Julia Evans wrote another must-read article (if you’re using Git): git rebase: what can go wrong?

I often use git rebase to clean up the commit history of a branch I want to merge into a main branch or to prepare a feature branch for a pull request. I don’t want to run it unattended – I’m always using the interactive option – but even then, I might get into tight spots where I can only hope the results will turn out to be what I expect them to be. Always have a backup – be it another branch or a copy of the branch you’re working on in a remote repository.

SC23 Dropped packet visibility demonstration

The real-time dashboard is a joint InMon / Arista Network Research Exhibition, SC23-NRE-026 Standard Packet Drop Monitoring In High Performance Networks. a part of The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC23) conference being held this week in Denver.
The conference network used in the demonstration, SCinet, is described as the most powerful and advanced network on Earth, connecting the SC community to the world.

The SC23-NRE-026 Standard Packet Drop Monitoring In High Performance Networks dashboard combines telemetry from all the Arista switches in the SCinet network to provide real-time network-wide view of performance. Each of the three charts demonstrate a different type of measurement in the sFlow telemetry stream:

  • Counters: Total Traffic shows total traffic calculated from interface counters streamed from all interfaces. Counters provide a useful way of accurately reporting byte, frame, error and discard counters for each network interface. In this case, the chart rolls up data from all interfaces to trend total traffic on the network.
  • Samples: Top Flows shows the top 5 largest traffic flows traversing the network. The chart is based on sFlow's random packet sampling mechanism, providing a scaleable method of determining the hosts and services responsible Continue reading

Nvidia planning 3 GPUs for sale in China to circumvent US restrictions: Reports

Chipmaker Nvidia is reportedly working on producing three new graphics processing units (GPUs) for sale in China in order to circumvent the new export restrictions imposed by the Biden administration.  The new chips — namely the H20, L20, and L2 — could go on sale in China from November 16 after the new US restrictions come into force, according to a news report from Chinastarmarket, which cites sources in the industrial supply chain put in place by Nvidia to manufacture these new GPUs.To read this article in full, please click here

Japanese government pledges further $13.3B to shore up domestic chip sector

The Japanese government has allocated an extra $13.3 billion (two trillion yen) to boost its domestic semiconductor industry.The funding is expected to be split between manufacturing and R&D, according to The Japan Times, which reported that the majority of the money will likely go to supporting TSMC and Rapidus. About $376 million (570 billion yen) will be assigned to a separate fund to enhance the stable supply of chips to Japan, the report said.The decision comes at the end of a year where both government subsidies and company investments and innovations have sought to significantly bolster the country’s chip manufacturing abilities and place it at the cutting edge of semiconductor technology.To read this article in full, please click here

KU040: Kubernetes Autoscaling Magic – Cost Control In Gen AI And LLMs With CAST AI (Sponsored)

In this sponsored episode of the Kubernetes Unpacked Podcast, we dive into the importance of cost and resource optimization with CAST AI. The truth is, it’s not just about saving money. The goal is ensuring that your apps are performing the way they should be. This not only saves customer frustration, but engineering frustration. We... Read more »

KU040: Kubernetes Autoscaling Magic – Cost Control In Gen AI And LLMs With CAST AI (Sponsored)

In this sponsored episode of Kubernetes Unpacked, we dive into the importance of cost and resource optimization with CAST AI. The truth is, it’s not just about saving money. The goal is ensuring that your apps are performing the way they should. This saves both customer and engineering frustration. We also explore from an engineering perspective how CAST AI uses AI in the background and how AI teams are building integrations into the product.

The post KU040: Kubernetes Autoscaling Magic – Cost Control In Gen AI And LLMs With CAST AI (Sponsored) appeared first on Packet Pushers.

Hedge 202: Internet Governance with George Michaelson

How is the Internet governed? Who sets the rules for the Internet, civil society, and government control? How much input should techies have, and how much should government control things? These are questions we don’t often ask, and yet are crucial to building and operating networks connected to the global Internet. George Michaelson joins Toms and Russ to talk about Internet governance—including contrary views of where things should be versus where they are.

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HN709: Protecting Data, Apps With Cloud DLP And CASB (Sponsored)

Cloud environments often have poor visibility and monitoring, and controlling access to sensitive corporate data is difficult. We speak with sponsor Palo Alto Networks about how it integrates CASB and Data Loss Prevention to control Web access and prevent sensitive information from leaking from your organization.

The post HN709: Protecting Data, Apps With Cloud DLP And CASB (Sponsored) appeared first on Packet Pushers.

VMware enlists Intel, IBM watsonx for private AI initiative

VMware has two new corporate partners, in the form of Intel and IBM, for its private AI initiative. The partnerships will provide new architectures for users looking to keep their generative AI training data in-house, as well as new capabilities and features.Private AI, as VMware describes it, is essentially a generative AI framework designed to let customers use the data in their own enterprise environments — whether public cloud, private cloud or on-premises — for large language model (LLM) training purposes, without having to hand off data to third parties. VMware broke ground on the project publicly in August, when it rolled out VMware Private AI Foundation with NVIDIA. That platform combines the VMware Cloud Foundation multicloud architecture with Nvidia AI Enterprise software, offering systems built by Dell, HPE and Lenovo to provide on-premises AI capabilities.To read this article in full, please click here

SPCOR Exam Experience by Nick Russo

On 31 October 2023, I took and passed the Implementing and Operating Cisco Service Provider Network Core Technologies (SPCOR) exam on my first attempt. Most of you know that I am recognized as an expert on Cisco Service Provider technologies given that I was one of the first to pass the new CCIE SPv4 exam in early 2016. Three months later, I released book of nearly 3,000 pages detailing all the technologies involved in that blueprint, going extremely deep into every topic. I later partnered with two other Service Provider experts to sell an ultimate study bundle that combined my textbook with their lab workbook. I think it’s fair to say that I should have crushed this exam, and although I did pass, it was far more difficult than I anticipated.

A few years ago, I also took the SCOR exam, but didn’t write a blog about it because I felt the exam was unremarkable. My friend Craig Stansbury has an excellent SCOR learning path at Pluralsight that I used to pass the exam on the first try, but on balance, it felt like a regular CCNP exam. SPCOR was a whole new class of difficulty. When I Continue reading

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